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Recommender systems play a crucial role in personalised service delivery in various fields. In this paper we propose an innovative methodology for the construction of recommendation systems for insurance products. Our approach is based on a multi-criteria framework, which allows decision makers to tailor recommendations to individual customer profiles. By incorporating factors such as age, annual income, education level and risk preference, our method achieves flexibility and adaptability.

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Enhancing Insurance Recommendations: A Multicriteria Approach Using the Choquet Integral

  • 章节

  • 发表日期：

    2026年

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  • Luca Anzilli,
  • Marta Cardin,
  • Silvio Giove

摘要

Recommender systems play a crucial role in personalised service delivery in various fields. In this paper we propose an innovative methodology for the construction of recommendation systems for insurance products. Our approach is based on a multi-criteria framework, which allows decision makers to tailor recommendations to individual customer profiles. By incorporating factors such as age, annual income, education level and risk preference, our method achieves flexibility and adaptability.